Text Summarization

Paper Group ANR 61

Paper Group ANR 61

April 3, 2020

Invariant Risk Minimization Games. A Continuous Space Neural Language Model for Bengali Language. dtControl: Decision Tree Learning Algorithms for Controller Representation. Scalable Quantitative Verification For Deep Neural Networks. Multilingual Stance Detection: The Catalonia Independence Corpus. IMAC: In-memory multi-bit Multiplication andACcum …
Paper Group AWR 19

Paper Group AWR 19

April 3, 2020

Post-Training Piecewise Linear Quantization for Deep Neural Networks. Camera Trace Erasing. Multi-organ Segmentation over Partially Labeled Datasets with Multi-scale Feature Abstraction. Self-Supervised Log Parsing. Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study. Adaptive binarization based on …
Paper Group AWR 25

Paper Group AWR 25

April 3, 2020

ACEnet: Anatomical Context-Encoding Network for Neuroanatomy Segmentation. Stance Detection Benchmark: How Robust Is Your Stance Detection?. Modeling ASR Ambiguity for Dialogue State Tracking Using Word Confusion Networks. Plato Dialogue System: A Flexible Conversational AI Research Platform. Two-Stream Aural-Visual Affect Analysis in the Wild. Cli …
Paper Group ANR 193

Paper Group ANR 193

April 2, 2020

Distributed Averaging Methods for Randomized Second Order Optimization. Improving the Tightness of Convex Relaxation Bounds for Training Certifiably Robust Classifiers. Learned Spectral Computed Tomography. Learning to Transfer Texture from Clothing Images to 3D Humans. Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Transla …
Paper Group ANR 202

Paper Group ANR 202

April 2, 2020

Estimating Aggregate Properties In Relational Networks With Unobserved Data. Learning Graph Embedding with Limited Labeled Data: An Efficient Sampling Approach. Robust Estimation, Prediction and Control with Linear Dynamics and Generic Costs. Risk-Averse Learning by Temporal Difference Methods. Multi-Class Classification from Noisy-Similarity-Label …
Paper Group ANR 310

Paper Group ANR 310

April 2, 2020

Amharic Abstractive Text Summarization. Intweetive Text Summarization. Zero-Assignment Constraint for Graph Matching with Outliers. CAT: Customized Adversarial Training for Improved Robustness. High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification. Fast and Robust Comparison of Probability Measures in …
Paper Group ANR 314

Paper Group ANR 314

April 2, 2020

RECAST: Interactive Auditing of Automatic Toxicity Detection Models. Is Temporal Difference Learning Optimal? An Instance-Dependent Analysis. Object Relational Graph with Teacher-Recommended Learning for Video Captioning. Quantized Neural Network Inference with Precision Batching. A more abstractive summarization model. Interval Neural Networks as …
Paper Group ANR 327

Paper Group ANR 327

April 2, 2020

Automata for Hyperlanguages. Learning to See: You Are What You See. Efficiently Calibrating Cable-Driven Surgical Robots With RGBD Sensing, Temporal Windowing, and Linear and Recurrent Neural Network Compensation. Tensor-Based Grading: A Novel Patch-Based Grading Approach for the Analysis of Deformation Fields in Huntington’s Disease. TED: A Pretra …
Paper Group ANR 344

Paper Group ANR 344

April 2, 2020

SS-Auto: A Single-Shot, Automatic Structured Weight Pruning Framework of DNNs with Ultra-High Efficiency. Processing topical queries on images of historical newspaper pages. Learning Functionally Decomposed Hierarchies for Continuous Control Tasks. Hierarchical Reinforcement Learning as a Model of Human Task Interleaving. Effect of Confidence and E …
Paper Group ANR 387

Paper Group ANR 387

April 2, 2020

Probabilistic 3D Multilabel Real-time Mapping for Multi-object Manipulation. Effects of annotation granularity in deep learning models for histopathological images. Generating Scientific Question Answering Corpora from Q&A forums. Data Vision: Learning to See Through Algorithmic Abstraction. Unsupervised Semantic Attribute Discovery and Control in …
Paper Group ANR 388

Paper Group ANR 388

April 2, 2020

Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration. 3D Object Segmentation for Shelf Bin Picking by Humanoid with Deep Learning and Occupancy Voxel Grid Map. Recognition of Smoking Gesture Using Smart Watch Technology. Fact Check-Worthiness Detection as Positive Unlabelled Learning. Active Model Es …
Paper Group ANR 401

Paper Group ANR 401

April 1, 2020

Variational Autoencoders for Opponent Modeling in Multi-Agent Systems. Show, Recall, and Tell: Image Captioning with Recall Mechanism. Sample Complexity of Incentivized Exploration. Explainable Artificial Intelligence and Machine Learning: A reality rooted perspective. Unsupervised deep clustering for predictive texture pattern discovery in medical …
Paper Group ANR 500

Paper Group ANR 500

April 1, 2020

Online Guest Detection in a Smart Home using Pervasive Sensors and Probabilistic Reasoning. Connecting GANs and MFGs. AU-AIR: A Multi-modal Unmanned Aerial Vehicle Dataset for Low Altitude Traffic Surveillance. Synthesis of Brain Tumor MR Images for Learning Data Augmentation. Meta-Learning Initializations for Low-Resource Drug Discovery. Bridging …
Paper Group NANR 112

Paper Group NANR 112

April 1, 2020

TSInsight: A local-global attribution framework for interpretability in time-series data. Connecting the Dots Between MLE and RL for Sequence Prediction. Quantum Semi-Supervised Kernel Learning. Meta-Graph: Few shot Link Prediction via Meta Learning. Learning transitional skills with intrinsic motivation. Distilling the Knowledge of BERT for Text G …
Paper Group NANR 115

Paper Group NANR 115

April 1, 2020

Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning. Provable Convergence and Global Optimality of Generative Adversarial Network. Representation Learning with Multisets. Deep Gradient Boosting – Layer-wise Input Normalization of Neural Networks. Inferring Dynamical Systems with Long-Range Dependencies through Line …
Paper Group NANR 120

Paper Group NANR 120

April 1, 2020

Continual Learning via Principal Components Projection. Semi-supervised semantic segmentation needs strong, high-dimensional perturbations. Learning Function-Specific Word Representations. Geometric Insights into the Convergence of Nonlinear TD Learning. Dynamical System Embedding for Efficient Intrinsically Motivated Artificial Agents. Certifying …
Paper Group NANR 48

Paper Group NANR 48

April 1, 2020

Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing. Estimating counterfactual treatment outcomes over time through adversarially balanced representations. Generalized Convolutional Forest Networks for Domain Generalization and Visual Recognition. Hypermodels for Exploration. SpikeGrad: An ANN-equiv …
Paper Group NANR 52

Paper Group NANR 52

April 1, 2020

Smoothness and Stability in GANs. Atomic Compression Networks. Lipschitz constant estimation for Neural Networks via sparse polynomial optimization. Evo-NAS: Evolutionary-Neural Hybrid Agent for Architecture Search. Data-dependent Gaussian Prior Objective for Language Generation. Dataset Distillation. Towards Understanding the Spectral Bias of Deep …